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Hands-On Time Series Analysis with R

You're reading from   Hands-On Time Series Analysis with R Perform time series analysis and forecasting using R

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781788629157
Length 448 pages
Edition 1st Edition
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Author (1):
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Rami Krispin Rami Krispin
Author Profile Icon Rami Krispin
Rami Krispin
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Time Series Analysis and R 2. Working with Date and Time Objects FREE CHAPTER 3. The Time Series Object 4. Working with zoo and xts Objects 5. Decomposition of Time Series Data 6. Seasonality Analysis 7. Correlation Analysis 8. Forecasting Strategies 9. Forecasting with Linear Regression 10. Forecasting with Exponential Smoothing Models 11. Forecasting with ARIMA Models 12. Forecasting with Machine Learning Models 13. Other Books You May Enjoy

Manipulation of date and time with the lubridate package

The title of the lubridate package documentation in CRAN is Make Dealing with Dates a Little Easier. In my mind, this is a very modest title for a package that makes work with date and time objects more effective, simple, and time efficient. This section introduces alternative tools and applications with the lubridate package for reformatting, converting, and handling date and time objects.

Reformatting date and time objects – the lubridate way

To understand how simple it is to reformat date and time objects with the lubridate package, let's go back to the complex time object (Monday, December 31, 2018 11:59:59 PM) we converted earlier to a POSIXct class...

You have been reading a chapter from
Hands-On Time Series Analysis with R
Published in: May 2019
Publisher: Packt
ISBN-13: 9781788629157
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